Triple
T8060457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Power Virtual Agents |
E188106
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | chatbot development platform |
C11227
|
CONCEPT FINISHED |
How this triple was built (1 step)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: chatbot development platform Context triple: [Power Virtual Agents, instanceOf, chatbot development platform]
-
A.
omnichannel customer service platform
An omnichannel customer service platform is a unified system that enables businesses to manage and respond to customer interactions seamlessly across multiple channels (such as email, chat, social media, phone, and SMS) from a single interface.
-
B.
no-code application development platform
chosen
A no-code application development platform is a software environment that enables users to design, build, and deploy applications through visual interfaces and prebuilt components without writing traditional programming code.
-
C.
low-code development platform
A low-code development platform is a software environment that enables users to build applications quickly with minimal hand-coding by using visual interfaces, prebuilt components, and configuration-driven logic.
-
D.
OpenAI product
An OpenAI product is a software or service offering that applies OpenAI’s artificial intelligence models and technologies to solve specific user or business problems in a reliable, scalable, and user-friendly way.
-
E.
generative AI service suite
A generative AI service suite is an integrated collection of tools and APIs that create, transform, and analyze content (such as text, images, code, or audio) using advanced machine learning models to support diverse applications and workflows.
- F. None of above.
Provenance (1 batch)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca82b2f68881908c50560697e210da |
completed | March 30, 2026, 2:03 p.m. |
Created at: March 30, 2026, 5:26 p.m.